Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add The-AI-Directory-Company/agents-and-skills --skill compliance-assessmentgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/compliance-assessment)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/compliance-assessment"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/compliance-assessment/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/compliance-assessment"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/compliance-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00041 | $0.01395 |
| Opus 5 | $0.00020 | $0.00698 |
| Sonnet 5 | $0.00008 | $0.00279 |
| Haiku 4.5 | $0.00004 | $0.00139 |
Grade A, and why
compliance-assessment scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compliance Assessment
Before you start
Gather the following from the user. If anything is missing, ask before proceeding:
- Which frameworks apply? — SOC 2, GDPR, HIPAA, ISO 27001, PCI DSS, or others
- What is the scope? — Which systems, services, data types, and teams are in scope
- What is the driver? — Customer requirement, regulatory obligation, funding milestone, or internal initiative
- What is the timeline? — Audit date, certification deadline, or customer commitment
- What exists today? — Current policies, controls, prior audit reports, known gaps
- Who are the stakeholders? — Engineering, legal, security, executive sponsor
Assessment template
1. Define Scope Boundary
Document exactly what is in and out of scope:
In Scope:
- Systems: [List every system, service, and data store]
- Data types: [PII, PHI, financial data, credentials, logs]
- Teams: [Engineering, DevOps, support, HR]
- Environments: [Production, staging, CI/CD pipelines]
- Third parties: [Cloud providers, SaaS tools, subprocessors]
Out of Scope:
- [System/area]: [Reason]
Rules: if a third-party processes in-scope data, they are in scope. If staging has production data copies, staging is in scope. CI/CD pipelines deploying to production are in scope.
2. Map Controls to Framework Requirements
For each framework, map existing controls to requirements per control area:
| Requirement | Framework Ref | Current Control | Status | Gap |
|---|---|---|---|---|
| Unique user IDs | SOC 2 CC6.1, ISO A.9.2.1 | SSO via Okta | Compliant | None |
| MFA for privileged access | SOC 2 CC6.1, ISO A.9.4.2 | MFA for admin roles | Compliant | None |
| Access reviews | SOC 2 CC6.2, ISO A.9.2.5 | None | Gap | Quarterly review needed |
Cover at minimum: Access Control, Data Protection (encryption, key management, retention), Logging and Monitoring, Incident Response, Change Management, Business Continuity, Vendor Management, HR Security (training, onboarding/offboarding).
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 118 lines · 41 tokens per session scan A 4516a1811d9f
compliance-assessment is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 1,395 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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